Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis

Today, to study a geospatial and spatio-temporal phenomena requires searching statistical tools that enable the analysis of the dependency of space, time and interactions. The science that studies this kind of subjects is the Geoestatics which the goal is to predict spatial phenomenon. This science...

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Main Author: Alvarado, Welman Rosa
Format: Artículo
Language: Español
Published: 2015
Online Access: http://revistas.ucr.ac.cr/index.php/matematica/article/view/2100
http://hdl.handle.net/10669/13001
id RepoKERWA13001
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spelling RepoKERWA130012017-08-08T18:50:26Z Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis Modelo Geoestadístico Espacio-Temporal del crimen en el Salvador: Análisis Estructural y Predictivo Alvarado, Welman Rosa Today, to study a geospatial and spatio-temporal phenomena requires searching statistical tools that enable the analysis of the dependency of space, time and interactions. The science that studies this kind of subjects is the Geoestatics which the goal is to predict spatial phenomenon. This science is considered the base for modeling phenomena that involves interactions between space and time. In the past 10 years, the Geostatistic had seen a great development in areas like the geology, soils, remote sensing, epidemiology, agriculture, ecology, economy, etc. In this research, the geostatistic had been apply to build a predictive map about crime in El Salvador; for that the variability of space and time together is studied to generate crime scenarios: crime hot spots are determined, crime vulnerable groups are identified, to improve political decisions and facilitate to decision makers about the insecurity in the country. En la actualidad, estudiar un fenómeno espacial y espacio-temporal requiere de la búsqueda de herramientas estadísticas que permitan analizar la dependencia de espacio, tiempo e interacciones. La ciencia que aborda este tipo de temas es la denominada Geoestadística cuya finalidad es predecir fenómenos espaciales. Esta ciencia es considerada el pilar para la modelización de fenómenos que involucran las interacciones de espacio y tiempo. En los últimos 10 años la geoestadística ha tenido gran aplicación en áreas como la geología, la edafología, tratamiento de imágenes, la epidemiologia, la agronomía, la ecología, economía, etc. En esta investigación se aplica para construir un mapa predictivo de la criminalidad en El Salvador; para ello, se estudia la variabilidad conjunta del espacio y tiempo para predecir o generar escenarios delincuenciales: focalizar áreas geográficas de inseguridad, determinar grupos vulnerables a sufrir hechos delictivos, incentivar la formulación de políticas públicas y facilitar la toma de decisiones en el tema de inseguridad. 2015-05-19T18:59:46Z 2015-05-19T18:59:46Z 2011-07-26 00:00:00 2015-05-19T18:59:46Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://revistas.ucr.ac.cr/index.php/matematica/article/view/2100 http://hdl.handle.net/10669/13001 10.15517/rmta.v18i2.2100 es Revista de Matemática: Teoría y Aplicaciones Vol. 18 Núm. 2 2011 325-342 application/pdf
institution Universidad de Costa Rica
collection Repositorio KERWA
language Español
description Today, to study a geospatial and spatio-temporal phenomena requires searching statistical tools that enable the analysis of the dependency of space, time and interactions. The science that studies this kind of subjects is the Geoestatics which the goal is to predict spatial phenomenon. This science is considered the base for modeling phenomena that involves interactions between space and time. In the past 10 years, the Geostatistic had seen a great development in areas like the geology, soils, remote sensing, epidemiology, agriculture, ecology, economy, etc. In this research, the geostatistic had been apply to build a predictive map about crime in El Salvador; for that the variability of space and time together is studied to generate crime scenarios: crime hot spots are determined, crime vulnerable groups are identified, to improve political decisions and facilitate to decision makers about the insecurity in the country.
format Artículo
author Alvarado, Welman Rosa
spellingShingle Alvarado, Welman Rosa
Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
author_sort Alvarado, Welman Rosa
title Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
title_short Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
title_full Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
title_fullStr Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
title_full_unstemmed Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
title_sort geostatistical spatio-time model of crime in el salvador: structural and predictive analysis
publishDate 2015
url http://revistas.ucr.ac.cr/index.php/matematica/article/view/2100
http://hdl.handle.net/10669/13001
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